Sr/Staff Perception Machine Learning Engineer

Southfield, MIfull timeOn Site

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senior

H1B: no

Lucidmotors Sr/Staff Perception Machine Learning Engineer at Lucid Motors to develop and optimize perception algorithms for autonomous driving. Design and deploy deep learning models using camera, LiDAR, and radar data.

Responsibilities

Develop and optimize perception algorithms for Level 2/2+/3 autonomous driving systems
Design and implement deep learning algorithms for 2D/3D object detection, segmentation, tracking, and multi-task learning
Design, train, and evaluate machine learning or deep learning models for detecting vehicles, pedestrians, and other road users
Perform sensor fusion with data from camera, lidar, radar and/or inertial sensors
Research and integrate BEV-based transformer models for perception tasks
Collaborate with cross-functional teams to ensure seamless integration and robust implementation
Deploy, test and release perception algorithms into Lucid production programs
Support validation and verification of perception algorithms using prototype and pre-production vehicles
Propose innovative software algorithms to enhance future autonomous driving capabilities

Qualification

Advanced degrees are preferredBackground in multi-sensor fusionPracticalAt Lucid

Required

Strong theoretical foundations and expertise in deep learning algorithms, including dynamic and static object detection, tracking, and segmentation.
Strong experience with 3D point cloud processing, with Lidar/Radar data.
Proficient in Python with a focus on clean, efficient, and scalable software development.
Comfortable working with large codebases and debugging complex machine learning models.
Experience with PyTorch and deployment toolchains, ONNX, TensorRT.
Ability to design and construct evaluation pipelines to unit-test ML models under diverse conditions and environments.
Excellent communication skills and a strong team player.
Bachelor’s degree in Computer Engineering, Electrical Engineering, Automotive Engineering, Mechanical Engineering, or a related field.
Minimum of 3 years of relevant work experience, or a Ph.D. in a related field.
Advanced degrees are preferred.

Preferred

Experience developing BEV transformer models for perception.
Background in multi-sensor fusion.
Proficiency in C++ with experience writing efficient, maintainable code.
Practical, hands-on approach to solving complex problems in autonomous driving.
Experience in testing and validating perception systems in real-world conditions.
Experience working in agile development teams.
Expertise in component and system integration, testing, and verification at the system and vehicle levels.
At Lucid, we don’t just welcome diversity - we celebrate it! Lucid Motors is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, national or ethnic origin, age, religion, disability, sexual orientation, gender, gender identity and expression, marital status, and any other characteristic protected under applicable State or Federal laws and regulations.

Benefits

Dental
Vision
401(k)
PTO
Equity/RSU

Company

Lucidmotors

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Source: greenhouse

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